Environmental degradation in geopolitical risk and uncertainty contexts for India: A comparison of ecological footprint, CO2 emissions, and load capacity factor

IF 5.8 Q2 ENERGY & FUELS
Muhammed Ashiq Villanthenkodath , Shreya Pal
{"title":"Environmental degradation in geopolitical risk and uncertainty contexts for India: A comparison of ecological footprint, CO2 emissions, and load capacity factor","authors":"Muhammed Ashiq Villanthenkodath ,&nbsp;Shreya Pal","doi":"10.1016/j.egycc.2023.100122","DOIUrl":null,"url":null,"abstract":"<div><p>This study assesses the role of geopolitical risk and uncertainty in the degradation of the environment by forming the functions for ecological footprint, CO<sub>2</sub> emissions, and load capacity factor for the period 1990–2019 in India. Besides, the specified function endogenizes economic growth, renewable energy consumption, and natural resource rent as the additional covariates. The use of the autoregressive distributed lag model (ARDL) confirms the long-run relationship between study variables. Further, the dynamic simulations of the autoregressive distributed lag model (DYNARDL) outcomes show that geopolitical risk improves the quality of the environment by reducing the ecological footprint and CO<sub>2</sub> emissions. However, it degrades the environment by reducing the load capacity factor. Furthermore, the uncertainty improves the environmental quality by reducing the CO<sub>2</sub> emissions and ecological footprint, but the reduced load capacity factor due to uncertainty implies the degradation of environmental quality in India. Given these findings, the study proposes different environmental conservation policies.</p></div>","PeriodicalId":72914,"journal":{"name":"Energy and climate change","volume":"5 ","pages":"Article 100122"},"PeriodicalIF":5.8000,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy and climate change","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666278723000296","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

Abstract

This study assesses the role of geopolitical risk and uncertainty in the degradation of the environment by forming the functions for ecological footprint, CO2 emissions, and load capacity factor for the period 1990–2019 in India. Besides, the specified function endogenizes economic growth, renewable energy consumption, and natural resource rent as the additional covariates. The use of the autoregressive distributed lag model (ARDL) confirms the long-run relationship between study variables. Further, the dynamic simulations of the autoregressive distributed lag model (DYNARDL) outcomes show that geopolitical risk improves the quality of the environment by reducing the ecological footprint and CO2 emissions. However, it degrades the environment by reducing the load capacity factor. Furthermore, the uncertainty improves the environmental quality by reducing the CO2 emissions and ecological footprint, but the reduced load capacity factor due to uncertainty implies the degradation of environmental quality in India. Given these findings, the study proposes different environmental conservation policies.

印度地缘政治风险和不确定性背景下的环境退化:生态足迹、二氧化碳排放量和负载能力系数的比较
本研究通过形成 1990-2019 年期间印度的生态足迹、二氧化碳排放量和负载能力因子函数,评估了地缘政治风险和不确定性在环境退化中的作用。此外,该函数还将经济增长、可再生能源消耗和自然资源租金作为附加协变量。自回归分布滞后模型(ARDL)的使用证实了研究变量之间的长期关系。此外,自回归分布式滞后模型(DYNARDL)的动态模拟结果表明,地缘政治风险通过减少生态足迹和二氧化碳排放改善了环境质量。然而,地缘政治风险会降低负载能力系数,从而降低环境质量。此外,不确定性通过减少二氧化碳排放量和生态足迹改善了环境质量,但不确定性导致的负载能力系数降低意味着印度环境质量的下降。鉴于这些发现,研究提出了不同的环境保护政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Energy and climate change
Energy and climate change Global and Planetary Change, Renewable Energy, Sustainability and the Environment, Management, Monitoring, Policy and Law
CiteScore
7.90
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信